Identifying vulnerable brain networks associated with Alzheimer’s disease risk

Ali Mahzarnia, Jacques A Stout, Robert J Anderson, Hae Sol Moon, Zay Yar Han, Kate Beck, Jeffrey N Browndyke, David B Dunson, Kim G Johnson, Richard J O’Brien, Alexandra Badea, Identifying vulnerable brain networks associated with Alzheimer’s disease riskCerebral Cortex, 2022;, bhac419, https://doi.org/10.1093/cercor/bhac419

QIAL papers @ CT Meeting 2022

1. C. Badea, D. Clark, A. Alphin, J. C. Ramirez-Giraldo, P. Bhandari, Y. Mowery, K. Ghaghada. Co-clinical photon counting CT research for multi-contrast imaging. Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 123040G (2022)  https://doi.org/10.1117/12.2646399
2. Darin P. Clark, Alex J. Allphin, Yvonne M. Mowery, Cristian T. Badea. Photon-counting x-ray CT perfusion imaging in animal models of cancer . Proceedings Volume 7th International Conference on Image Formation in X-Ray Computed Tomography, 123041B (2022) https://doi.org/10.1117/12.2646403
3. Rohan Nadkarni, Alex Allphin, Darin Clark, Cristian Badea. Material decomposition from photon-counting CT using a convolutional neural network and energy-integrating CT training labels.  Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 123041K (2022)) https://doi.org/10.1117/12.2646405

Preclinical implementation of a clinical trial

This study aimed to investigate whether adding neoadjuvant radiotherapy (RT), anti-programmed cell death protein-1 (PD-1) antibody (anti-PD-1), or RT + anti-PD-1 to surgical resection improves disease-free survival for mice with soft tissue sarcomas (STS).

https://doi.org/10.1158/1535-7163.MCT-21-0991 

Deep learning based material decomposition for photon counting CT

R Nadkarni, A Allphin, DP Clark, CT Badea. Material decomposition from photon-counting CT using a convolutional neural network and energy-integrating CT training labels.  Physics in Medicine & BiologyVolume 67Number 15https://doi.org/10.1088/1361-6560/ac7d34

The Absolute Winding Number

Badea A, Li D, Niculescu A, Anderson R, Stout J, Williams C, Colton C, Maeda N, Dunson D. Absolute Winding Number Differentiates Mouse Spatial Navigation Strategies With Genetic Risk for Alzheimer’s Disease Frontiers in Neuroscience. 2022 Jan;16. PMCID: PMC9247395.

Spectral micro-CT and Preclinical Applications

We presented this talk  on spectral micro-CT and its applications at the NCI CIRP Annual Meeting,  June 22-23, 2022.

Deep learning based multimodal segmentation of acute ischemic stroke lesions in the human brain

Hae Sol Moon, Lindsay Heffron, Ali Mahzarnia, Barnabas Obeng-Gyasi, Matthew Holbrook, Cristian T. Badea, Wuwei Feng, Alexandra Badea,
Automated multimodal segmentation of acute ischemic stroke lesions on clinical MR images,
Magnetic Resonance Imaging,
2022, ISSN 0730-725X,
https://doi.org/10.1016/j.mri.2022.06.001.

Imaging Biomarkers for Alzheimer’s Disease Using Magnetic Resonance Microscopy

Book Chapter: Alexandra Badea, Jacques A Stout, Robert J Anderson, Gary P Cofer. Imaging Biomarkers for Alzheimer’s Disease Using Magnetic Resonance Microscopy

in Magnetic Resonance Microscopy: Instrumentation and Applications in Engineering, Life Science, and Energy Research.

Sabina Haber-Pohlmeier (Editor), Bernhard Blumich (Editor), Luisa Ciobanu (Editor), 2022

ISBN: 978-3-527-34760-5 April 2022 464 Pages

 

 

Our QIAL contributions at SPIE Medical Imaging 2022

  1. A. J. Allphin, D. P. ClarkA. Badea, and C. T. Badea “Anatomical and functional cardiac PCCT imaging pipeline for characterization of Apolipoprotein E mouse models“, Proc. SPIE 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging, 120360Z (4 April 2022); https://doi.org/10.1117/12.2611806
  2. A. J. Allphin, Y. Mowery, K. J. Lafata, D. P. Clark, A. Basil, Rico Castillo, M. D. Holbrook, K. B. Ghaghada, and C. T. Badea “Spectral micro-CT and radiomic analysis for classification of tumors based on lymphocytic burden in cancer therapy studies“, Proc. SPIE 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging, 120361H (4 April 2022); https://doi.org/10.1117/12.2611519
  3. Darin P. Clark and Cristian T. Badea “Volumetric, dual-domain x-ray CT reconstruction with deep learning“, Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 1203135 (4 April 2022); https://doi.org/10.1117/12.2611771
  4. Darin P. Clark, Ehsan Abadi, Nicholas Felice, W. Paul Segars, Ehsan Samei, and Cristian T. Badea “Cardiac CT reconstruction for vendor-neutral virtual imaging trials“, Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 1203110 (4 April 2022); https://doi.org/10.1117/12.2612950
  5. C. T. Badea, D. P. Clark, A. Allphin, K. B. Ghaghada, and Y. M. Mowery “Photon counting micro-CT for imaging Cisplatin“, Proc. SPIE 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging, 120361I (4 April 2022); https://doi.org/10.1117/12.2612574

Photon counting CT and radiomics for cancer imaging

Allphin, A. J., Y. M. Mowery, K. J. Lafata, D. P. Clark, A. M. Bassil, R. Castillo, D. Odhiambo, M. D. Holbrook, K. B. Ghaghada and C. T. Badea (2022). “Photon Counting CT and Radiomic Analysis Enables Differentiation of Tumors Based on Lymphocyte Burden.” Tomography 8(2): 740-753.

https://www.mdpi.com/1535918 

Our paper has been also featured on the following short interview published by the Photon Counting Detector Manufacturer, Dectris.